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Computer Engineer Jobs in Bel Air, MD (NOW HIRING)

Education: Bachelor's Degree in Computer Science, Computer Engineering, or a related STEM field. * Preferred: VxWorks/Linux, algorithmic development, Electronic Warfare (EW), DevSecOps, and Open ...

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With experts in biomedical science, software engineering, and program management, we focus on ... Axle is seeking a Computer Systems Analyst to join our vibrant team at the National Institutes of ...

With experts in biomedical science, software engineering, and program management, we focus on ... Axle is seeking a Computer Systems Analyst to join our vibrant team at the National Institutes of ...

With experts in biomedical science, software engineering, and program management, we focus on ... Axle is seeking a Computer Systems Analyst to join our vibrant team at the National Institutes of ...

Bachelor's degree (in computer science or computer engineering or related field) required with 5+ years of experience or master's degree (in computer science or computer engineering or related field ...

Showing results 21-40

Computer Engineer information

See Bel Air, MD salary details

$46.1K

$115.5K

$130.7K

How much do computer engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for computer engineer in Bel Air, MD is $115,534.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,000.00 and $125,000.00 per year, depending on experience, location, and employer.

What is a computer engineer?

A computer engineer designs, researches, tests, and develops computer equipment and software such as circuit boards, chips, routers, and application programs. Computer engineers analyze complex equipment and systems to understand the best way to improve it. They create new types of information technology devices and use logic and reasoning to hone in on goals, test assumptions, and identify the strengths and weaknesses of alternative solutions to problems. Engineers often work in teams and have to be able to communicate with other types of engineers, including non-technical team members. Computer engineers make sure that components fit together properly and function according to the latest software developments.

What are the key skills and qualifications needed to thrive as a computer engineer?

To thrive as a Computer Engineer, you need a strong background in computer science, mathematics, and hardware/software design, typically supported by a bachelor’s degree in computer engineering or a related field. Familiarity with programming languages (such as C/C++ or Python), circuit design tools, and industry certifications like CompTIA or Cisco are highly valuable. Problem-solving, teamwork, and effective communication are essential soft skills that set top performers apart. These abilities ensure that computer engineers can design, implement, and optimize systems that meet technical requirements and business goals.

What are common challenges computer engineers face when working on cross-functional teams?

Computer engineers often collaborate with software developers, hardware designers, and project managers, which can present challenges in aligning technical requirements and communication styles. Ensuring that everyone has a clear understanding of system limitations and integration points is crucial, as miscommunication can lead to project delays or rework. Staying adaptable and proactively clarifying expectations helps computer engineers navigate these collaborative environments successfully.

What is the difference between Computer Engineer vs Software Developer?

AspectComputer EngineerSoftware Developer
Required CredentialsBachelor's in Computer Engineering or related field; certifications like Cisco, CompTIABachelor's in Computer Science or Software Engineering; certifications like Microsoft, AWS
Work EnvironmentDesigning hardware, embedded systems, and software integration in labs or officesWriting, testing, and maintaining software applications in offices or remote setups
Employer & Industry UsageTech companies, manufacturing, telecommunications, embedded systemsIT firms, software companies, startups, enterprise software development

Computer Engineers focus on both hardware and software systems, often working on embedded systems and hardware integration. Software Developers primarily create and maintain software applications. While their roles overlap in programming, Computer Engineers have a broader scope including hardware design, whereas Software Developers specialize in software solutions.

What are the most commonly searched types of Computer Engineer jobs in Bel Air, MD?

The most popular types of Computer Engineer jobs in Bel Air, MD are:

What job categories do people searching Computer Engineer jobs in Bel Air, MD look for?

The top searched job categories for Computer Engineer jobs in Bel Air, MD are:

What cities near Bel Air, MD are hiring for Computer Engineer jobs?

Cities near Bel Air, MD with the most Computer Engineer job openings:

Infographic showing various Computer Engineer job openings in Bel Air, MD as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 14% Part Time, 4% Contract, and 1% Nights. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $115,534 per year, or $55.5 per hour.

Senior Computer Vision Engineer ID72408

AgileEngine, LLC.

Baltimore, MD • On-site

$140 - $200/hr

Other

Posted 14 days ago


Job description

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

WHY JOIN US

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

ABOUT THE ROLE

We are looking for a Senior Computer Vision Engineer to own applied model development across computer vision, machine learning, and data science use cases — building and deploying solutions for object detection, image segmentation, classification, and video analysis. You will evaluate and fine-tune model architectures using PyTorch and TensorFlow, build broader ML models for forecasting and anomaly detection, and apply practical knowledge of computer vision hardware including cameras, sensors, and edge devices.

WHAT YOU WILL DO
  • Own the applied model development process across computer vision, AI/ML, and broader data science use cases;
  • Translate complex business problems into viable, practical, and scalable AI/ML solutions;
  • Evaluate various model options, train and fine-tune selected architectures, and rigorously analyze model performance;
  • Develop and deploy solutions for object detection, image segmentation, image classification, and video analysis;
  • Build and maintain models for time-series forecasting, anomaly detection, regression, clustering, and general data analysis;
  • Apply practical knowledge of real-world constraints—such as lighting, sensor limitations, and edge device compute power to ensure optimal data quality and robust model performance in production.
MUST HAVES
  • You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time;
  • 3 to 5 years of professional experience in Computer Vision, Machine Learning, Data Science, or a related field;
  • Degree in Computer Science, Engineering, Data Science, Mathematics, or a related discipline (or equivalent practical experience);
  • Engineers located in the US must reside in Dallas, TX, and be open to working from the office (onsite);
  • Strong, production-level proficiency in Python;
  • Deep hands-on experience with PyTorch and/or TensorFlow;
  • Proven track record of building and deploying models for detection, segmentation, classification, and image/video analysis;
  • Solid understanding of broader ML and data science techniques (time-series modeling, forecasting, anomaly detection, regression, and clustering);
  • Practical experience working with computer vision hardware, including cameras, sensors, and lighting setups;
  • Familiarity with deploying models on edge devices;
  • Strong understanding of how physical and real-world constraints impact data quality, model training, and inference;
PERKS AND BENEFITS
  • Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
  • Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
  • Exciting projects: Modern solutions with Fortune 500 and top product companies.
  • Flextime: Flexible schedule with remote and office options.
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